{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# List of fitted polarization indices (see individual cloud notebooks)\n",
    "Alpha_List = [-0.85, -0.62, -0.68, -0.74, -0.91, -0.89, -0.67, -0.78, -0.59, -0.63]\n",
    "Alpha_List_np = np.array(Alpha_List)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.736 0.11065260954898444\n"
     ]
    }
   ],
   "source": [
    "print(np.mean(Alpha_List_np), np.std(Alpha_List_np))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PoLiteWIP",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.8"
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 },
 "nbformat": 4,
 "nbformat_minor": 2
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